Predict Sending KPI In Date Range v1

POST

https://api.mpc.dev.placewise.com/v1/ml/sending/predict_sending_kpi_in_date_range

API Permit:ML:Sending:KPIInDateRangePrediction

API Context:Loyalty Club

Authorizations:UserToken

Returns predictions for selected kpi for a given sending entity in a date range.

Body Parameters

Parameter	Type	Required?	Description
sending	Hash	yes	A full sending entity. See parameters of Predict Sending KPI
date_start	String	yes	Start date of prediction. Format: YYYY-MM-DD
date_end	String	yes	End date of prediction. Format: YYYY-MM-DD
interval	Integer	yes	Interval of prediction in seconds as an integer (e.g. 86400)

Example

When successful, returns:

{
  "predictions": [
    {
      "prediction": 0.1,
      "timestamp": "2020-01-01 00:00:00"
    },
    {
      "prediction": 0.2,
      "timestamp": "2020-01-01 01:00:00"
    },
    {
      "prediction": 0.3,
      "timestamp": "2020-01-01 02:00:00"
    }
  ]
}

Request

Header Params

Content-Type

enum<string>

required

Details

Allowed value:

application/json

Default:

application/json

X-User-Agent

string

required

Arbitrary identifier of your client. Details

Default:

X-Product-Name

string

required

API Product for API context. Details

Default:

X-Loyalty-Club-Slug

string

required

LoyaltyClub for API context. Details

Default:

X-Customer

string

required

Customer for API context. Details

Default:

Authorization

string

required

Member or User Authorization.

Default:

Bearer {{_OAUTH_TOKEN}}

X-Client-Authorization

string

optional

Default:

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.mpc.dev.placewise.com/v1/ml/sending/predict_sending_kpi_in_date_range' \
--header 'X-User-Agent;' \
--header 'X-Product-Name;' \
--header 'X-Loyalty-Club-Slug;' \
--header 'X-Customer;' \
--header 'Authorization;' \
--header 'X-Client-Authorization: '

Responses

🟢200Success

application/json

Body

object {0}

Example

{}

Modified at 2025-04-14 12:06:28

Explain Sending KPI Prediction v1

Predict Sending Popularity v2

Predict Sending KPI In Date Range v1

Body Parameters#

Example#

Request

Request samples

Responses

Body Parameters

Example